abdulfatir/twitter-sentiment-analysis
A course project implementing and comparing multiple machine learning and deep learning methods for binary sentiment classification on tweets.
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The repository compares various approaches for classifying tweet sentiment as positive or negative. It implements traditional machine learning methods including Naive Bayes and SVM alongside deep learning architectures such as CNN and LSTM using Keras with TensorFlow backend. The project includes data preprocessing, statistical analysis, and model training pipelines.
Frequently asked
- What is abdulfatir/twitter-sentiment-analysis?
- A course project implementing and comparing multiple machine learning and deep learning methods for binary sentiment classification on tweets.
- Is twitter-sentiment-analysis open source?
- Yes — abdulfatir/twitter-sentiment-analysis is open source, released under the MIT license.
- What language is twitter-sentiment-analysis written in?
- abdulfatir/twitter-sentiment-analysis is primarily written in Python.
- How popular is twitter-sentiment-analysis?
- abdulfatir/twitter-sentiment-analysis has 1.6k stars on GitHub.
- Where can I find twitter-sentiment-analysis?
- abdulfatir/twitter-sentiment-analysis is on GitHub at https://github.com/abdulfatir/twitter-sentiment-analysis.